Description Usage Arguments Details Value Author(s) References See Also Examples
musa.okumoto.plot plots the estimated mean value function for the Musa-Okumoto
model and the raw data into one window.
1 2 3 | musa.okumoto.plot(theta0, theta1, t, xlab = "time",
ylab = "Cumulated failures and estimated mean value function",
main = NULL)
|
theta0 |
parameter value for |
theta1 |
parameter value for |
t |
time between failure data |
xlab |
a title for the x axis |
ylab |
a title for the y axis |
main |
an overall title for the plot |
This function gives a plot of the mean value function for the Musa-Okumoto model. Here
the estimated parameter values for theta0 and theta1, which are obtained
by using musa.okumoto, can be put in. Internally the function mvf.musa
is used to get the mean value function for the Musa-Okumoto model.
A graph of the mean value function for the Musa-Okumoto model and of the raw data.
Andreas Wittmann andreas\_wittmann@gmx.de
J.D. Musa, A. Iannino, and K. Okumoto. Software Reliability: Measurement, Prediction, Application. McGraw-Hill, 1987.
Michael R. Lyu. Handbook of Software Realibility Engineering. IEEE Computer Society Press, 1996. http://www.cse.cuhk.edu.hk/~lyu/book/reliability/
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | # time between-failure-data from DACS Software Reliability Dataset
# homepage, see system code 1. Number of failures is 136.
t <- c(3, 30, 113, 81, 115, 9, 2, 20, 20, 15, 138, 50, 77, 24,
108, 88, 670, 120, 26, 114, 325, 55, 242, 68, 422, 180,
10, 1146, 600, 15, 36, 4, 0, 8, 227, 65, 176, 58, 457,
300, 97, 263, 452, 255, 197, 193, 6, 79, 816, 1351, 148,
21, 233, 134, 357, 193, 236, 31, 369, 748, 0, 232, 330,
365, 1222, 543, 10, 16, 529, 379, 44, 129, 810, 290, 300,
529, 281, 160, 828, 1011, 445, 296, 1755, 1064, 1783,
860, 983, 707, 33, 868, 724, 2323, 2930, 1461, 843, 12,
261, 1800, 865, 1435, 30, 143, 108, 0, 3110, 1247, 943,
700, 875, 245, 729, 1897, 447, 386, 446, 122, 990, 948,
1082, 22, 75, 482, 5509, 100, 10, 1071, 371, 790, 6150,
3321, 1045, 648, 5485, 1160, 1864, 4116)
theta0 <- musa.okumoto(t)$theta0
theta1 <- musa.okumoto(t)$theta1
musa.okumoto.plot(theta0, theta1, t, xlab = "time (in seconds)",
main = "Musa-Okumoto model")
|
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